Landform

Parameter

Landform

Represented classes

Peak/ridge (warm)

Peak/ridge

Peak/ridge (cool)

Mountain/divide

Cliff

Upper slope (warm)

Upper slope

Upper slope (cool)

Upper slope (flat)

Lower slope (warm)

Lower slope

Lower slope (cool)

Lower slope (flat) \

Valley

Valley (narrow)

Description

The SRTM Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (SRTM CHILI) and the multi-scale Topographic Position Index (SRTM mTPI) datasets. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M. (2015). Ecologically-relevant maps of landforms and physiographic diversity for climate adaptation planning. PloS one, 10(12), e0143619

Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo)

Source data

Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo)

Publication


Description

The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic (aka land facet) patterns. Although there are many potential uses of these data, the original purpose for these data was to develop an ecologically relevant classification and map of landforms and physiographic classes that are suitable for climate adaptation planning. Because there is large uncertainty associated with future climate conditions and even more uncertainty around ecological responses, providing information about what is unlikely to change offers a strong foundation for managers to build robust climate adaptation plans. The quantification of these features of the landscape is sensitive to the resolution, so we provide the highest resolution possible given the extent and characteristics of a given index.

Spatial resolution

Global coverage

30m resolution

Temporal resolution

Period of observation: 2006-2011